Sunil S. Solomon

837 total citations
23 papers, 488 citations indexed

About

Sunil S. Solomon is a scholar working on Infectious Diseases, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Sunil S. Solomon has authored 23 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 12 papers in Epidemiology and 7 papers in Sociology and Political Science. Recurrent topics in Sunil S. Solomon's work include HIV/AIDS Research and Interventions (14 papers), HIV, Drug Use, Sexual Risk (10 papers) and Sex work and related issues (6 papers). Sunil S. Solomon is often cited by papers focused on HIV/AIDS Research and Interventions (14 papers), HIV, Drug Use, Sexual Risk (10 papers) and Sex work and related issues (6 papers). Sunil S. Solomon collaborates with scholars based in United States, India and United Kingdom. Sunil S. Solomon's co-authors include Shruti H. Mehta, Amy Wesolowski, Alain Labrique, Derek A. T. Cummings, C. Jessica E. Metcalf, Nishant Kishore, J Giles, Bryan T. Grenfell, Caroline O. Buckee and Hannah R. Meredith and has published in prestigious journals such as Nature Communications, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Sunil S. Solomon

23 papers receiving 478 citations

Peers

Sunil S. Solomon
Andrew Schroeder United States
Corey M. Peak United States
Dan Yamin Israel
Karla Therese L. Sy United States
Yuan Bai China
Emily H. Chan United States
Ensheng Dong United States
Maximilian Marshall United States
Marietta M. Squire United States
Michael R. Desjardins United States
Andrew Schroeder United States
Sunil S. Solomon
Citations per year, relative to Sunil S. Solomon Sunil S. Solomon (= 1×) peers Andrew Schroeder

Countries citing papers authored by Sunil S. Solomon

Since Specialization
Citations

This map shows the geographic impact of Sunil S. Solomon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunil S. Solomon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil S. Solomon more than expected).

Fields of papers citing papers by Sunil S. Solomon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil S. Solomon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunil S. Solomon. The network helps show where Sunil S. Solomon may publish in the future.

Co-authorship network of co-authors of Sunil S. Solomon

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil S. Solomon. A scholar is included among the top collaborators of Sunil S. Solomon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunil S. Solomon. Sunil S. Solomon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Dhir, Amit, et al.. (2024). Need for informed providers: exploring LA-PrEP access in focus groups with PrEP-indicated communities in Baltimore, Maryland. BMC Public Health. 24(1). 1258–1258. 2 indexed citations
3.
Hitchings, Matt D. T., Eshan U. Patel, Aylur K. Srikrishnan, et al.. (2023). A Mixture Model for Estimating SARS-CoV-2 Seroprevalence in Chennai, India. American Journal of Epidemiology. 192(9). 1552–1561. 3 indexed citations
4.
Arambepola, Rohan, Angkana T. Huang, Alain Labrique, et al.. (2023). Fine scale human mobility changes within 26 US cities in 2020 in response to the COVID-19 pandemic were associated with distance and income. PLOS Global Public Health. 3(7). e0002151–e0002151. 2 indexed citations
5.
Erchick, Daniel J., Alexander Zapf, Prativa Baral, et al.. (2022). COVID-19 risk perceptions of social interaction and essential activities and inequity in the USA: results from a nationally representative survey. BMJ Open. 12(2). e051882–e051882. 6 indexed citations
6.
Singh, Aditya, et al.. (2022). COVID-19 impact on index testing services and programmatic cost in 5 high HIV prevalence Indian districts. BMC Infectious Diseases. 22(1). 918–918. 2 indexed citations
7.
Vasudevan, Canjeevaram K., Aylur K. Srikrishnan, Aditya Singh, et al.. (2021). HIV service delivery in the time of COVID‐19: focus group discussions with key populations in India. Journal of the International AIDS Society. 24(S6). e25800–e25800. 25 indexed citations
8.
Mehta, Shruti H., Steven J. Clipman, Amy Wesolowski, & Sunil S. Solomon. (2021). Holiday gatherings, mobility and SARS-CoV-2 transmission: results from 10 US states following Thanksgiving. Scientific Reports. 11(1). 17328–17328. 19 indexed citations
9.
Clipman, Steven J., Amy Wesolowski, Shruti H. Mehta, et al.. (2021). Improvements in Severe Acute Respiratory Syndrome Coronavirus 2 Testing Cascade in the United States: Data From Serial Cross-sectional Assessments. Clinical Infectious Diseases. 74(9). 1534–1542. 6 indexed citations
10.
11.
Grantz, Kyra H., Hannah R. Meredith, Derek A. T. Cummings, et al.. (2020). The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology. Nature Communications. 11(1). 4961–4961. 254 indexed citations
12.
Wesolowski, Amy, Dustin G. Gibson, Smisha Agarwal, et al.. (2020). LB-10. Rapid Assessments of Non-Pharmaceutical Intervention Uptake and Population Mobility Patterns Elucidate SARS-Cov-2 Transmission Dynamics. Open Forum Infectious Diseases. 7(Supplement_1). S848–S848. 1 indexed citations
13.
Griensven, Frits van, Thomas E. Guadamuz, Jan Willem de Lind van Wijngaarden, et al.. (2017). Challenges and emerging opportunities for the HIV prevention, treatment and care cascade in men who have sex with men in Asia Pacific. Sexually Transmitted Infections. 93(5). 356–362. 23 indexed citations
14.
Tomori, Cecília, Aylur K. Srikrishnan, Shruti H. Mehta, et al.. (2017). HIV risks among women who are married to men who have sex with men in India: a qualitative investigation. Culture Health & Sexuality. 20(8). 873–887. 10 indexed citations
15.
Schwartz, Sheree, Matthew M. Kavanagh, Jeremy Sugarman, et al.. (2017). HIVviral load monitoring among key populations in low‐ and middle‐income countries: challenges and opportunities. Journal of the International AIDS Society. 20(S7). 23 indexed citations
16.
Tomori, Cecília, Aylur K. Srikrishnan, Kathleen Ridgeway, et al.. (2016). Friends, Sisters, and Wives: Social Support and Social Risks in Peer Relationships Among Men Who Have Sex With Men (MSM) in India. AIDS Education and Prevention. 28(2). 153–164. 12 indexed citations
17.
Solomon, Sunil S., et al.. (2013). Beyond Surveillance: A Role for Respondent-driven Sampling in Implementation Science. American Journal of Epidemiology. 178(2). 260–267. 25 indexed citations
18.
Solomon, Sunil S., Aylur K. Ganesh, Shruti H. Mehta, et al.. (2013). Immunologic response among HIV-infected patients enrolled in a graduated cost-recovery programme of antiretroviral therapy delivery in Chennai, India.. PubMed. 137(6). 1145–53. 4 indexed citations
19.
Solomon, Sunil S., Suniti Solomon, Benoı̂t Mâsse, et al.. (2006). Risk Reduction Counseling Is Associated With Decreased HIV Transmission-Associated Behaviors in High-Risk Indian Heterosexuals. JAIDS Journal of Acquired Immune Deficiency Syndromes. 42(4). 478–483. 7 indexed citations
20.
Solomon, Sunil S., et al.. (2006). Trends in HIV-related morbidity among patients admitted to a South Indian tertiary hospital between 1997 and 2003. AIDS Care. 18(4). 366–370. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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